Elios Talent
Senior Machine Learning Engineer
Elios Talent - San Francisco, California, United States, 94199
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Co-Founder of Elios-Relationship Builder and Servant Leader....Romans 10:9
We’re looking for a Senior Machine Learning Engineer to develop and scale data-driven systems that power intelligent products and services. You’ll play a key role in building robust ML infrastructure and delivering production-ready models that drive real business impact. What You'll Do: Design and deploy scalable machine learning pipelines for training, evaluation, and inference Partner with data scientists and engineers to bring ML prototypes into production Implement MLOps best practices for versioning, testing, and deployment Optimize models for speed, accuracy, and performance at scale Build tools for monitoring and maintaining model performance over time Collaborate across teams to identify ML opportunities and translate business needs into model solutions What We're Looking For: 5+ years of experience in machine learning or data engineering Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and ML infrastructure Strong understanding of data structures, algorithms, and statistical modeling Familiarity with MLOps tools and frameworks (MLFlow, Airflow, Kubeflow, etc.) Bonus: Experience with time series, recommendation systems, or deep learning architectures Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering, Information Technology, and Analyst Industries IT Services and IT Consulting, Software Development, and Financial Services Referrals increase your chances of interviewing at Elios Talent by 2x Inferred from the description for this job
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We’re looking for a Senior Machine Learning Engineer to develop and scale data-driven systems that power intelligent products and services. You’ll play a key role in building robust ML infrastructure and delivering production-ready models that drive real business impact. What You'll Do: Design and deploy scalable machine learning pipelines for training, evaluation, and inference Partner with data scientists and engineers to bring ML prototypes into production Implement MLOps best practices for versioning, testing, and deployment Optimize models for speed, accuracy, and performance at scale Build tools for monitoring and maintaining model performance over time Collaborate across teams to identify ML opportunities and translate business needs into model solutions What We're Looking For: 5+ years of experience in machine learning or data engineering Proficiency in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and ML infrastructure Strong understanding of data structures, algorithms, and statistical modeling Familiarity with MLOps tools and frameworks (MLFlow, Airflow, Kubeflow, etc.) Bonus: Experience with time series, recommendation systems, or deep learning architectures Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering, Information Technology, and Analyst Industries IT Services and IT Consulting, Software Development, and Financial Services Referrals increase your chances of interviewing at Elios Talent by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Engineer jobs in
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